Artificial Intelligence (AI) Strategy Consulting | Machine Learning Consulting Services

Machine learning consulting services

Our team of experts helps you turn your data into a strategic asset with our end-to-end machine learning consulting services. We design, build, and operate predictive models that forecast sales, reduce churn, and detect fraud. We handle the entire lifecycle, from data engineering to production MLOps, so your models stay accurate and deliver continuous value.

Speak with our machine learning consultants ->

8 in 10

Companies have high AI priority

Although AI is a top priority, only a fraction of companies have a mature, organization-wide strategy.

1 in 10

Executives have a comprehensive AI strategy

Many executives feel confident in their ability to extract value from AI, feel unprepared to integrate it across their organizations.

$1M

Investment in AI

Approximately 73% of executives are investing $1 million or more annually in generative AI, but only about one-third are actually seeing a significant return on investment (ROI).

What's included in Pythian's machine learning consulting?

From business problem to production model

Our machine learning consulting provides a clear process to take your project from a business concept to a fully functional and scalable system. We provide the expert team needed to manage the entire project, helping you get results sooner and see a clear return on your investment.

Use case and feasibility assessment

We start by identifying opportunities where machine learning can add the most value. Our consultants help you define the project's scope, goals, and key performance indicators to ensure a measurable return on investment.

Data preparation and engineering for ML

The quality of your data directly impacts your model's performance. Our data engineers clean and organize the necessary data to train the ML model, building the robust data pipelines required for success.

Custom model development and training

We go beyond off-the-shelf solutions. Our data scientists design, build, and train custom machine learning models using your prepared data, selecting the right algorithms and tuning them for optimal performance to solve your specific business challenges.

MLOps and production deployment

We provide ongoing support, performance monitoring, and updates to the AI model through our MLOps practice. This ensures your model remains accurate and relevant as your data and business needs evolve, delivering continuous value long after deployment.

Commodities firm optimizes bid prices with machine learning

A leading commodities trading firm needed to optimize its bidding strategy but lacked the internal resources. Pythian's data scientists designed, built, and deployed a machine-learning model on Google Cloud that delivered real-time bid pricing intelligence, driving profitability on high-volume transactions.

Read the customer story ->

"Companies are leaping into AI as though it is a pot of gold at the end of a rainbow without recognizing that they have no map for the rainbow. Pythian supported us in uncovering our map."

Howard Holton

Chief Operating Officer, GigaOm

Meet our AI executives

The AI executives supporting your machine learning initiatives

Grounded in real-world business leadership, our executives have successfully navigated the complexities of integrating AI into large organizations—helping hundreds of executives build their enterprise data and AI strategy. Their experience extends beyond technical implementation to encompass the strategic decisions that truly drive value, such as identifying high-impact use cases, building a data-driven culture, and managing ethical and security risks at an executive level.

Paul Lewis | Chief Technology Officer

As CTO, Paul Lewis drives Pythian’s technology strategy, helping customers scale their data and cloud assets to deliver valuable business outcomes throughout their digital transformation journey.

Karen Pfeifer | Field Chief AI Officer

As Field CAIO, Karen Pfeifer leverages her deep technical insights experience in formulating AI and data strategies that directly address critical business needs and drive innovation.

Ernest Solomon | Field Chief Information Security Officer

As Field CISO, Ernest Solomon consistently aligns technology strategy with real-world objectives, ensuring customers gain operational resilience and a definitive competitive edge.

Jeff DeVerter | Field Chief Technology Officer

As Field CTO, Jeff DeVerter leverages his deep expertise across platforms to guide organizations through complex evolutions to achieve tangible business outcomes.

The value in Pythian's machine learning consulting services

Get the most out of your machine learning initiatives by drawing on our expertise

Our machine learning consulting services offer strategic and operational advantages by improving decision-making, enhancing efficiency, and personalizing customer experiences. We provide access to specialized expertise, optimize resources, mitigate risks, and ensure seamless implementation of ML solutions for long-term business success.

Strategic and operational advantages

Our services improve decision-making through data analysis, enhance efficiency by automating repetitive tasks, personalize customer experiences with hidden insights, and provide a competitive advantage through innovation.

Expertise and resource optimization

Our customers gain access to specialized ML expertise without the need for in-house hiring, receive customized solutions for unique business challenges, and achieve resource efficiency compared to building and maintaining an internal ML department.

Risk mitigation and seamless implementation

Pythian's consultants help reduce risks by identifying the right tools and technologies, ensure scalability and smooth integration of ML solutions, and assist with change management to prepare employees for new processes.

Overall value

By leveraging our consulting services, businesses can unlock the full potential of their data, drive growth, and achieve long-term success in an increasingly data-driven landscape.

How Pythian's machine learning consulting service works

From concept to a fully scalable ML solution

Our machine learning consulting services encompass the entire lifecycle of creating and integrating predictive models into your business operations. Our end-to-end process takes your project from an idea to a fully functional and scalable system that delivers lasting value.

Data strategy and governance

Together, we identify opportunities where machine learning can add the most value and define the project's scope, goals, and key performance indicators.

Data preparation

Pythian will clean and organize the necessary data to train the ML model. A clear data strategy is critical, as the quality of the data directly impacts the model's performance.

Model building and training

Our data scientists design, build, and train machine learning models using the prepared data, selecting the right algorithms and tuning them for optimal performance.

Evaluation and testing

We rigorously test the model to ensure its accuracy and reliability. This validation step is crucial to confirm the model will perform as expected in a real-world environment.

Deployment and integration

Pythian deploys the validated ML model into your production environment. We seamlessly integrate the solution with your existing systems, workflows, and applications.

MLOps and ongoing support

Pythian provides ongoing support, performance monitoring, and updates to the model through our MLOps practice to ensure it remains accurate and relevant as your data and business needs evolve.

Day & Ross scale operations leveraging AI

Pythian built a custom AI solution to assist the trucking giant with a complex, multi-step document processing workflow, ensuring real-time data visibility and accuracy for a better customer experience.

Read the story ->

Commodities firm optimizes bid prices with machine learning

A leading commodities trading firm needed to optimize its bidding strategy. Pythian's data scientists designed and deployed a machine-learning model on Google Cloud that delivered real-time bid pricing intelligence, driving profitability on high-volume transactions.

Read the story ->

Midwest grocer turns shopper data into satisfied customers

A leading supermarket retailer wanted to use its data to drive stronger decision-making. Pythian's data scientists helped develop a machine-learning model to predict shopper behavior, enabling more accurate product recommendations and a better customer experience.

Read the story ->

Frequently asked questions (FAQ) about machine learning consulting services

Machine learning consulting is a service that provides strategic guidance and technical implementation to help businesses build and deploy custom predictive models. Our services encompass the entire lifecycle, from defining a business strategy and preparing data to customizing and integrating ML models and providing ongoing support.

The process for machine learning consulting typically involves six phases: data strategy and governance, data preparation, model building and training, evaluation and testing, deployment and integration into your production environment, and ongoing MLOps support to ensure the model remains accurate and relevant.

Machine learning can solve complex operational challenges that rely on finding patterns in data. For our customer, a commodities trading firm, we built a custom solution to automate the process of optimizing bid prices, improving profitability. Other common use cases include predicting customer churn, detecting fraud, and providing personalized recommendations.

Machine learning consultants guide businesses in integrating predictive models to improve efficiency and drive innovation. Our services include defining an ML strategy, conducting feasibility studies, advising on data readiness, and customizing and integrating models. Post-implementation, we provide ongoing support, optimization, and MLOps to ensure the solutions deliver continuous value.

What We Do

Machine learning consulting services

Pythian has the top machine learning consultants

Companies have high AI priority

Executives have a comprehensive AI strategy

Investment in AI

From business problem to production model

Use case and feasibility assessment

Data preparation and engineering for ML

Custom model development and training

MLOps and production deployment

Commodities firm optimizes bid prices with machine learning

The AI executives supporting your machine learning initiatives

Get the most out of your machine learning initiatives by drawing on our expertise

Strategic and operational advantages

Expertise and resource optimization

Risk mitigation and seamless implementation

Overall value

From concept to a fully scalable ML solution

Data strategy and governance

Data preparation

Model building and training

Evaluation and testing

Deployment and integration

MLOps and ongoing support

Ready to solve your most complex business challenges with machine learning?

See how our customers are winning with machine learning

Day & Ross scale operations leveraging AI

Commodities firm optimizes bid prices with machine learning

Midwest grocer turns shopper data into satisfied customers

Frequently asked questions (FAQ) about machine learning consulting services